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Record W2266410096

Shared Parenting and Challenges for Maternal Autonomy

2012· article· en· W2266410096 on OpenAlexaff
Susan Boyd

Bibliographic record

VenueSSRN Electronic Journal · 2012
Typearticle
Languageen
FieldMedicine
TopicReproductive Health and Technologies
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsAutonomyNature versus nurtureNormativePsychologyChild custodyContext (archaeology)Dominance (genetics)Social psychologyDevelopmental psychologyFace (sociological concept)Family lawPolitical scienceSociologyLawCriminologyGeography
DOInot available

Abstract

fetched live from OpenAlex

This paper explores the tensions between autonomy and expectations of mother-caregivers, in the context of trends in child custody law. Do mothers have appropriate scope for autonomy in the face of socio-legal norms that prioritize shared parenting? Feminism has been centrally concerned with freeing women to shape their own lives, rather than accepting a male-dominated definition of their lives. Yet the very relationship between mother-caregivers and children illustrates the important connection between relationships and autonomy: the caregiving that mothers provide enables children to become autonomous persons, yet this relationship simultaneously constrains maternal autonomy. In the current normative climate, the potential for maternal autonomy is further compromised – even when mothers choose to live apart from a child’s biological father. A responsible mother is expected to nurture a child’s relationship with the father, unless he is proven to be harmful. The dominance of the heterosexual and patriarchal family – always a challenge for women’s autonomy – is reproduced in this imposition of equal parenting. How autonomous motherhood can be promoted in the face of normative shared parenting will be the question asked.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.008
metaresearch head score (Gemma)0.017
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.042

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.017
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0050.018
Scholarly communication0.0040.005
Open science0.0010.010
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0030.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.049
GPT teacher head0.308
Teacher spread0.259 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2012
Admission routes1
Has abstractyes

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